A5032153224- IoT and Edge/Fog Computing
- Advanced Malware Detection Techniques
- Context-Aware Activity Recognition Systems
- Autonomous Vehicle Technology and Safety
- Vehicular Ad Hoc Networks (VANETs)
- Data Visualization and Analytics
- Energy Efficient Wireless Sensor Networks
- Traffic control and management
- Caching and Content Delivery
- Embedded Systems and FPGA Design
- Recommender Systems and Techniques
- Indoor and Outdoor Localization Technologies
- Gaze Tracking and Assistive Technology
- Robotics and Sensor-Based Localization
- Satellite Communication Systems
- Topic Modeling
- Network Security and Intrusion Detection
- Mobile Crowdsensing and Crowdsourcing
- Smart Grid Security and Resilience
- Internet Traffic Analysis and Secure E-voting
- Digital Transformation in Industry
- Advanced Wireless Communication Technologies
- Data-Driven Disease Surveillance
- Water Systems and Optimization
- Water Quality Monitoring Technologies
Royal Military College of Canada
2022-2025
University of Ottawa
2018-2020
The Internet of Things (IoT) has emerged as an Internet-based extension and considerably changed our daily life. integration artificial intelligence (AI) machine learning (ML) into IoT networks the potential to enable automated responses improved decision-making capabilities. Nonetheless, administering large for experimental purposes is essential addressing practical research implications diverse AI/ML applications. One significant challenges researchers face scarcity testbeds that support...
Automotive Ethernet, as a standard network bus, promises faster speeds and enhanced bandwidth benefits for internal automotive networks. However, putting Ethernet inside automobiles introduces significant security issues that will become increasingly evident. Intrusion detection systems (IDS) have been created to safeguard such networks from cyberattacks while assuring functional safety real-time communication. This article presents comprehensive examination of the literature on...
Detecting unknown cyberattacks remains an open research problem and a significant challenge for the community security industry. This paper tackles detection of cybersecurity attacks in Internet Things (IoT) traditional networks by categorizing them into two types: entirely new classes (type-A) within already known (type-B). To address this, we propose novel multi-stage, multi-layer zero trust architecture intrusion system (IDS), uniquely designed to handle these attack types. The employs...
Ambient intelligence (AmI) refers to the ability of devices interact seamlessly with their surroundings. An increased use IoT in ambient has led a heightened concern for cybersecurity. Vulnerabilities software or firmware have been exploited by hackers gain control networks. They could also systems collect sensitive data from devices. The problem security is twofold. First, it concerns safety embedded system and protection data. To protect devices, it's essential understand various types...
In the recent years, improvements in vehicular technology has been significant. Even after this improvement, right now it is only a fraction of what being expected future. Vehicles future will be able to sense its environment and navigate surroundings without any sort human input. These vehicles are introduced as Connected Autonomous Vehicles. data can used develop different applications that enhance road safety, better manage traffic flow provide additional comfort services vehicle drivers....
In this paper, we propose a new technique for MIMO-CDMA systems that combines the Spatial Modulation (SM) concept and permutation spreading design. Simulation results of proposed system show significant improvement BER performance in low signal to noise ratio (SNR) compared conventional STBC